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All Journal Kappa Journal Djtechno: Jurnal Teknologi Informasi
Maliya, Fina
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Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Physics Other

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PERAN INTERNET OF THINGS (IOT) DAN ARTIFICIAL INTELLIGENCE (AI) DALAM MAINTENANCE LABORATORIUM: TINJAUAN LITERATUR Rara, Rara; Wulandari, Dwi Noviana; Maliya, Fina; Akhsan, Hamdi; Amri, Iful
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.6538

Abstract

Penelitian ini bertujuan untuk mengkaji peran teknologi Internet of Things (IoT) dan Artificial Intelligence (AI) dalam mendukung proses pemeliharaan (maintenance) di laboratorium modern. Metode yang digunakan adalah Systematic Literature Review (SLR) berdasarkan pedoman PRISMA, 26 artikel dengan rentang tahun (2015-2025) dari database seperti Scopus dan IEEE Xplore dianalisis untuk menjawab empat pertanyaan penelitian : (1) penggunaan IoT (sensor dan platform), (2) aplikasi AI (algoritma dan fungsi), (3) dampak terhadap efisiensi, pengukuran dan produktivitas serta (4) tantangan implementasi. IoT dengan sensor DHT11 dan platform Docker memungkinkan pemantauan peralatan secara real-time dan otomatis. AI, melalui algoritma pembelajaran mesin memungkinkan prediksi kerusakan dan eksperimen otomatis. Teknologi ini meningkatkan efisiensi energi hingga 30% dan akurasi hasil laboratorium, tetapi tantangan seperti kompleksitas sistem, interoperabilitas, kualitas data, dan kesiapan SDM menghambat penerapan AI dan IoT. Rekomendasi meliputi proyek percontohan berbasis Raspberry Pi dan pelatihan teknis.
Green House Gas Emissions from Motor Vehicles in Urban Indonesia: Systematic Literature Review 2015-2025 Mahdiah, Intan; Akhsan, Hamdi; Maliya, Fina; Murniati, Murniati
Kappa Journal Vol 10 No 1 (2026): April
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v10i1.33487

Abstract

The transportation sector on land in Indonesia is responsible for about 27% of the country's total greenhouse gas emissions, which has a big effect on global warming (KLHK, 2021; WRI Indonesia, 2024). This study looks at trends in vehicle emissions, the main ways emissions are measured, and where more research is needed. It uses a Systematic Literature Review (SLR) method based on the PRISMA 2020 guidelines. The research searched five major databases: Scopus, ScienceDirect, Google Scholar, Portal Garuda, and Sinta, covering the time from January 1, 2015, to December 31, 2025. Out of 512 records found, 26 articles were included after going through a careful selection process. The results show that the number of cars owned increased by about 7–8% each year from 2015 to 2019, and this rate went up to 10–12% every year between 2021 and 2025 after the pandemic. By April 2025, the total number of vehicles in the country was around 168 million, with motorcycles making up most of that number, between 139 and 157 million. Most studies used the bottom-up method (69% of them), and most empirical research was done in Jakarta (14 articles), Surabaya (8 articles), and Bandung (4 articles). Medium-sized cities like Palembang, Medan, and Makassar have not been studied much and are considered scientific blind spots. In 2025, the transportation sector is expected to account for about 24.63% of the country's greenhouse gas emissions in 2024 and might rise to 28% of total carbon emissions from transport. During the dry season, urban areas have air pollution levels that are 42–57% from motor vehicles. More research in these cities is needed to help Indonesia reach its 2030 Nationally Determined Contribution (NDC) goals. This includes making better emission inventories and looking at possible ways to reduce emissions, such as switching to low-emission vehicles, which could help avoid up to 170 million tons of carbon emissions by 2040.
Co-Authors Hamdi Akhsan Iful Amri Mahdiah, Intan Murniati . Rara, Rara Wulandari, Dwi Noviana